Browse the catalog

Provides on-device Chinese speech recognition with traditional Chinese (Taiwan) output via MCP server, HTTP API, and CLI, ensuring privacy by processing audio locally without uploading to cloud services.

PineScript Syntax Checker MCP server that validates TradingView PineScript code by interfacing with TradingView's official pine-facade API. The implementation uses httpx for async HTTP requests and FastMCP for the server framework, providing a single tool that accepts PineScript source code and returns detailed syntax validation results including any compilation errors. Designed for developers working with TradingView indicators and strategies who need real-time syntax validation without manually checking code in the TradingView Pine Editor, making it valuable for automated trading script development workflows and educational tools.

A TypeScript-based MCP server that enables AI assistants to create, search, list, and delete notes with tags. Serves as a starter template for building custom MCP servers with tools and resources.

Enables AI assistants to access contextual knowledge from multiple repositories through Sequa's Contextual Knowledge Engine. Provides architecture-aware code understanding and cross-repository context for more accurate, production-ready code generation.

This project demonstrates how to build a minimal MCP server using the `mcp` Python SDK and connect it to Claude Desktop as a client. It simulates a simple Travel Desk system with tools to submit, view, and track employee travel requests — all accessible directly from Claude's interface.

A simple MCP server with an echo tool for testing purposes

An MCP server that provides AI assistants with screenshot capabilities — both web page capture via Puppeteer and cross-platform system screenshots using native OS tools.

A local AI-powered file reader that connects a Python MCP server with Ollama's Mistral model for offline file summarization. It provides secure file discovery and reading capabilities without requiring API keys or cloud services.

Enables AI assistants to interact with the full Mistral AI API, including chat completion, embeddings, fine-tuning, OCR, audio transcription, and more.

MCP server for Zocdoc - let AI agents book doctor appointments

An MCP server for managing YouTube Music playlists via Claude. Add and remove songs, create playlists, and ask Claude to suggest music — all through conversation.

A Model Context Protocol (MCP) server providing tools for NPM package management and dependency updates. Helps LLMs like Claude interact with npm packages, search npm registry, and keep dependencies up-to-date.

MCP server to access Barcelona events data via Pipeworx gateway.

Public REST/OpenAPI and MCP integration for the Daytime Agent Market testnet marketplace

Exposes Brazilian education data (IDEB) by municipality for consultation via Claude. Covers 10 cycles (2005-2023) with observed IDEB, targets, math/Portuguese scores, and flow indicator.

Validates IBAN checksums and resolves bank codes via the OpenIBAN API.

Deterministic social image rendering for AI agents that converts specs into PNGs with exact typography, paid per call in USDC on Base via x402.

This read-only MCP Server allows you to connect to SAS Data Sets data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SAS Data Sets (https://www.cdata.com/drivers/sasdatasets/download/mcp).

Provides AI assistants with real-time prediction market consensus data, including probabilities, opportunities, signals, and settlements.

This MCP server, developed by Skrape.ai, provides a bridge between web content and LLMs by converting HTML pages into clean, structured Markdown. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a simple interface to the skrape.ai API for webpage conversion. The implementation focuses on noise reduction, consistent formatting, and JavaScript rendering support, making it ideal for feeding web content into LLMs. It's particularly useful for developers and researchers working with language models, enabling use cases such as web content analysis, information extraction, and automated research without dealing directly with HTML parsing or web scraping complexities.